4327 Data Science Jobs - Page 11

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

As a Generative AI Senior Developer with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 6-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

Leads the Data and System Governance organization for GCS, driving all aspects related to the governance of all Systems in use to support business activities within GCS and TRD (for SAP only). In partnership with Dev IT, you lead and coordinate all system improvement initiatives and ensure visibility of performances through KPI monitoring. You maintain a high performing support model to Business by actively aligning with stakeholders for issue resolution. Responsibilities include developing and executing the data governance strategy for Clinical supply chain, creation of a governance framework, improving data stewardship processes, managing dedicated resources, and optimizing planning. You lead data and digital transformation initiatives to make GCS a data-driven organization fueled by Data Science and AI, acting as a point of contact for all GCS D&D initiatives in India HUB. You are accountable for the development and execution of data governance strategy, data quality management standards, and processes to enhance master data capabilities across all MDM domains within TRD. Additionally, you drive functional excellence and foster a culture of empowerment, trust, learning, diversity & inclusion, and high performance while having disciplinary and legal responsibilities for the people assigned to your team. In the role of Operational Manager, you lead a Team in GCS Systems & Operational Excellence, owning, driving, and governing Systems and associated landscape within TRD/GCS. You closely partner with multiple levels of the TRD organization and external partners to align on cross-functional projects and business priorities. Conducting analysis of business needs, you plan and implement required projects and improvements, ensuring proper transition to Line Functions of key initiatives implemented. You oversee and manage all 3rd party activities involved in system governance and helpdesk, ensuring adherence to budget and timelines to support operations of a fully integrated Clinical Supply Chain Management. Your role involves developing and maintaining KPIs for ongoing activities, ensuring adherence to them, driving/implementing required improvements, and overseeing SAP improvement implementation at TRD level. You establish and maintain data governance and quality frameworks, implement a robust data quality program, and create, manage, and facilitate the implementation of data governance policies. You actively lead the creation and maintenance of Data Governance roadmap for GCS, ensuring integration of data quality methodologies in developing new master data attributes. As part of the Novartis team, you will have the opportunity to collaborate, support, and inspire each other to achieve breakthroughs that change patients" lives. Novartis is committed to providing reasonable accommodation to individuals with disabilities and building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served.,

As an experienced Data Science Architect, you will be responsible for architecting and delivering data-driven solutions across the full project lifecycle. Your exceptional communication skills will allow you to effectively convey complex technical concepts to both business stakeholders and engineering teams, ensuring alignment and decision-making. You will excel at translating strategic business requirements into scalable and secure technical designs and roadmaps. Your expertise in Data Science, Machine Learning (ML), and GenAI will be put to use in hands-on model development, training pipelines, and integrating GenAI to transform analytics and AI proof-of-concepts into production realities. You will leverage your deep knowledge of data architecture and pipeline development to design ETL/ELT workflows, data lakes, and real-time data platforms. Proficiency in at least one major cloud ecosystem (AWS, Azure, or Google Cloud) covering compute, storage, networking, and managed data services is essential. With 6-8 years of experience in the field, your primary skillset should revolve around Data Science, supported by expertise in Python, Data Modeling, AI/ML Development, and GenAI Fundamentals. Joining Infogain, a human-centered digital platform and software engineering company, will allow you to work with Fortune 500 companies and digital natives across various industries, leveraging technologies such as cloud, microservices, automation, IoT, and artificial intelligence to drive business outcomes. Infogain, a Microsoft Gold Partner and Azure Expert Managed Services Provider, operates globally with offices and delivery centers in multiple locations.,

As an Assistant Professor of Computer Science & Allied branches at Sri Krishna Institute of Technology in Bengaluru, you will be responsible for teaching undergraduate and graduate courses, developing curricula, advising students, conducting research, and engaging in departmental and institutional activities. Your role will involve supervising student projects, publishing reputable research, and contributing to the academic environment. To qualify for this position, you should hold an M.Tech in Computer Science & allied branches, have experience in curriculum development for undergraduate and graduate programs, and possess specialized knowledge in Data Science and Cybersecurity. Proficiency in programming languages like Java, Python, and C++, along with excellent communication and interpersonal skills, are essential. The ability to mentor and advise students is crucial, and teaching or industry experience will be advantageous. This is a full-time on-site role with a morning shift schedule. Join us at Sri Krishna Institute of Technology and be part of our dynamic and fast-growing organization committed to innovation and excellence in Engineering.,

Azurity Pharmaceuticals is a specialty pharmaceutical company dedicated to developing innovative products for underserved patients. Leveraging our integrated capabilities and extensive partner network, we continuously expand our commercial product portfolio and late-stage pipeline. Our patient-centric products cover various markets such as cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, positively impacting millions of patients. We are committed to providing unique, accessible, and high-quality medications to improve patients" lives. For more information, please visit www.azurity.com. We take pride in fostering an inclusive workplace and being an Equal Opportunity Employer. Our success is a result of our talented and dedicated team that prioritizes patients" well-being by incorporating the best science and quality commitment into all our endeavors. We are looking for individuals who are highly motivated, possess integrity, dedication, and a creative spirit to excel in our organization. We are currently looking for a Data Analyst to join our dynamic Supply Chain team. As a Data Analyst, you will play a crucial role in optimizing our supply chain operations by utilizing data to drive decision-making. Your responsibilities will include collecting, cleaning, and preparing datasets, developing data processing models, creating dashboards, and generating insights to enhance efficiency, cost-effectiveness, and ensure the timely delivery of medications. Key Responsibilities: - Assist in collecting, cleaning, and preparing datasets relevant to supply chain operations. - Develop and maintain data processing methods using tools like advanced excel, PowerBi, and DAX language. - Create and maintain dashboards and visualizations using Power BI and Microsoft Tools. - Collaborate with the Supply Chain team to understand business needs and translate them into analytical requirements. - Support ad-hoc data analysis requests and contribute to report generation for decision-making. - Drive continuous improvement of business processes, reports, and metrics. - Support the team in identifying future opportunities in Systems, Tools, and Processes. Qualifications And Education Requirements: - Bachelor's degree in data science, Statistics, Supply Chain Management, Computer Science, Engineering, or a related field. - Proficiency in DAX programming language and Microsoft Suite tools (Lists, Power Automate, Flows & Forms). - Strong analytical and problem-solving skills with the ability to interpret complex data. - Attention to detail and a commitment to data accuracy. - Basic understanding of Supply Chain in the Pharmaceutical industry and inventory management. - Familiarity with forecasting techniques and inventory optimization concepts is advantageous. By applying for this role, you confirm that you can fulfill the job responsibilities detailed in the job description without any restrictions. If you have any concerns or disabilities that may affect your ability to perform the job, please inform HR in advance.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,

As the Head of Product for our client in the Technology, Information and Media industry based in Mumbai, you will be responsible for leading AI/ML and enterprise analytics initiatives. This role requires a strategic product leader with at least 8 years of experience and a strong technical background. Your main focus will be on developing AI-first solutions that revolutionize how businesses utilize data, by leveraging cutting-edge technologies such as large language models, generative AI, and real-time data intelligence. Your responsibilities will include defining and evolving the product strategy for AI/ML-powered tools, translating customer needs into product opportunities, and integrating frontier technologies into a cohesive product vision. You will lead the ideation, scoping, and launch of ML-driven features, collaborate with cross-functional teams, and drive customer-centricity through iterative feedback loops and product analytics. Additionally, you will mentor a product team, build internal alignment, and act as a thought leader both internally and externally. To excel in this role, you should have a Masters or PhD in Computer Science, Data Science, Machine Learning, or a related field, along with 8-12 years of experience in AI/ML, advanced analytics, or enterprise-grade data science platforms. You should possess a strong grasp of ML/NLP models, GenAI/LLM stacks, and experience working with scalable architectures. Furthermore, you should have 5+ years of product management experience, including 2+ years in a leadership role, with a proven track record of shipping AI-first B2B or enterprise products. Your business and communication skills should be exceptional, with the ability to tell compelling product stories, align stakeholders around a data-driven narrative, and translate technical outputs into user value and commercial impact. Experience with MLOps platforms, growth-stage startups, enterprise SaaS companies, and global data privacy frameworks would be considered a bonus. If you are passionate about innovation, execution, and impact, and have a strong background in AI/ML and product management, this is an exciting opportunity for you to lead transformative AI initiatives and make a significant difference in the world of analytics and enterprise solutions.,

As a Senior Associate at PricewaterhouseCoopers (PwC), you will be part of a team of problem solvers dedicated to addressing complex business challenges from strategy to execution. In this role, you will be expected to leverage your skills and knowledge in various areas, including but not limited to: - Utilizing feedback and reflection to enhance self-awareness and personal growth. - Delegating tasks to provide growth opportunities for team members and coaching them to achieve results. - Demonstrating critical thinking skills and the ability to structure solutions for intricate problems. - Employing a wide range of tools and techniques to derive insights from current industry trends. - Leading day-to-day tasks within the team, assisting in work planning, and ensuring quality, accuracy, and relevance in the work done. - Contributing to practice enablement and business development initiatives. - Learning new tools and technologies as necessary. - Developing and implementing automation solutions aligned with client requirements. - Demonstrating proficiency in selecting and utilizing tools for different situations, with the ability to justify the choice. - Communicating effectively and persuasively while engaging with others. - Adhering to the firm's ethical standards and business conduct guidelines. The ideal candidate for this position should possess the following qualifications and experience: - Dual degree/Master's degree from reputable institutes in fields such as Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, or Mathematics. - 4-7 years of work experience in analytics consulting and/or transaction services with leading consulting organizations. - Experience throughout the entire Deals Cycle, including diligence, post-deal value creation, and exit preparation. In addition to the above, candidates with knowledge and skills in the following areas will be preferred: Business: - Ability to effectively manage stakeholder interactions and relationships, particularly in the US. - Experience in high-performing teams, preferably in data analytics, consulting, and/or private equity. - Strong expertise in Analytics Consulting, with a demonstrated ability to translate complex data into actionable insights. - Proficiency in utilizing business frameworks to analyze markets, evaluate company positioning and performance. - Experience working with alternative data and market datasets to derive insights on competitive positioning and company performance. - Understanding of financial statements, business cycles, diligence processes, financial modeling, valuation, etc. - Experience in a collaborative environment and delivering under time-sensitive client deadlines. - Providing valuable insights by comprehending clients" businesses, industries, and value drivers. - Excellent communication and presentation skills. Technical: - Collaborative, innovative, and resourceful in applying tools and techniques to address client queries. - Ability to synthesize insights and recommendations into concise and comprehensive client presentations. - Proven track record in data extraction, transformation, analytics, and visualization. - Proficiency in tools such as Alteryx, Pyspark, Python, Advanced Excel, PowerBI (including visualization and DAX), and MS Office. - Familiarity with GenAI/Large Language Models (LLMs) is a plus. - Experience in big data and machine learning concepts. - Strong background in utilizing data and business intelligence software to derive actionable insights.,

The Artificial Intelligence/Machine Learning Engineer position at CDM Smith involves collaborating with the Data Technology group within the Digital Engineering Solutions team to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging artificial intelligence (AI) and machine learning (ML), the individual will play a crucial role in providing actionable business insights and robust solutions for AEC professionals and client outcomes. The focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge, including understanding and managing data, architecting & engineering data for self-serve Business Intelligence (BI) and Business Analytics (BA) opportunities. As an AI/ML Engineer at CDM Smith, you will be responsible for applying state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases within the AEC domain. You will analyze large datasets to identify patterns and trends, participate in AI model testing and validation, and optimize AI/ML workflows through MLOps practices. Collaboration with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions will be a key aspect of this role. In addition to technical responsibilities, the position requires staying updated on the latest developments in AI/ML technologies and best practices, contributing to the development of documentation, standards, and best practices for data technology, and effectively communicating complex technical concepts to both technical and non-technical audiences. Strong problem-solving, critical thinking, and communication skills are essential for successfully executing highly complex projects and generating innovative solutions to improve business processes. To qualify for this role, you should have a Bachelor's degree and 1-2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Basic experience with building and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn, familiarity with cloud-based AI/ML services, programming languages such as R, Python, or Scala, and knowledge of MLOps practices are required. Understanding of data privacy, security, and ethical AI principles is essential to ensure compliance with relevant standards. This position does not require any travel. Please note that CDM Smith may conduct background checks, including criminal, employment, education, and drug testing, for designated positions. Employment will be contingent upon the successful completion of these checks.,

The company's beliefs serve as the guiding principles driving the daily operations, centered around core values of Inclusion, Innovation, Collaboration, and Wellness. These values underscore the importance of working collaboratively as a global team, prioritizing customers, self-care, interpersonal relationships, and community involvement. As a key member of the team, your role will focus on spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to address intricate challenges. Working closely with data scientists, software engineers, and product teams, you will leverage innovative AI/ML solutions to enhance services. Your responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to generate valuable business insights and enhance customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives at the organizational level. - Lead the development and optimization of advanced machine learning models. - Supervise the preprocessing and analysis of extensive datasets. - Implement and uphold ML solutions in live production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and assess the performance of deployed models, making necessary refinements. - Provide mentorship and guidance to junior engineers and data scientists. - Publish research outcomes and contribute to industry conversations. - Represent the company at conferences and external events. - Influence the company's AI/ML strategy and contribute to long-term planning. Minimum Qualifications: - A minimum of 18 years of relevant work experience along with a Bachelor's degree or equivalent. - Profound expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Extensive hands-on experience with cloud platforms like AWS, Azure, GCP, and tools for data processing and model deployment. - Recognized as an industry authority with a robust publication history. The company offers a range of benefits that support employee well-being and professional growth. To gain insight into our culture and community, visit https://about.pypl.com/who-we-are/default.aspx If you are interested in joining our Talent Community or have any queries regarding your application, please feel free to reach out. We acknowledge the challenges posed by the confidence gap and imposter syndrome, and we encourage all candidates to apply without hesitation.,

The Pre-Sales Consultant at Wipro Limited is responsible for supporting the sales team in winning deals by developing solutions that meet client requirements. As a Sector/Account specific Presales Architect, you will own the overall proposal/solution and engage multiple service lines to curate customized contents. Your role involves the overall ownership of the lead to SOW lifecycle, building trusted partnerships with multiple service lines, and delivering RFP Q&A, estimation, proposal documents, oral presentations, and SOWs. You will build solution content and stories from a Technology Industry perspective, write creatively in English, and create visually appealing slides. In addition, you will work with service lines to create solutions for Software Development, Data Science, Support, Customer Experience, and Digital pursuits. Previous experience or exposure to Digital and Data proposals is preferred. You will probe customers to clarify requirements, work with SMEs to develop specific solutions, and bring relevant industry experience to the table. Your responsibilities also include making presentations of solutions to clients. As part of RFP Management/Bid Management, you will project manage the entire bid process, prepare and deploy bid plans, identify teams/experts for contributions, collaborate with stakeholders, review progress, and ensure timely submission of responses. You will also be involved in Commercial Architecting/Estimation, where you will build commercial models for deals, determine deal prices and margins in collaboration with BFMs, and coordinate with different Service Lines and Delivery teams for commercial estimates. At Wipro, we are building a modern organization focused on digital transformation. We are looking for individuals inspired by reinvention, eager to evolve their careers and skills. Join us in a business powered by purpose, where you can design your own reinvention. We encourage applications from individuals with disabilities.,

The AI Presales Consultant is responsible for bridging the gap between technical expertise in Artificial Intelligence (AI) and the business requirements of international prospects. You will engage directly with clients to identify industry-specific use cases for Generative AI, design tailored solutions, collaborate with AI engineering teams, and develop compelling proposals that clearly articulate business value and technical feasibility. Your key responsibilities will include conducting industry-specific research to identify relevant AI and Generative AI use cases, assessing and differentiating between viable solutions, collaborating with AI Engineers to design tailored AI solutions, developing detailed user flows and solution architecture documents, leading client-facing demonstrations and proof-of-concept presentations, and maintaining strong client relationships. To qualify for this role, you should have a Bachelor's Degree in Computer Science, Engineering, IT, or related field, with advanced degrees preferred. You should have at least 7 years of experience in AI presales, solutions consulting, or business analysis roles. Demonstrable understanding of core AI and Generative AI concepts, experience in creating technical proposals, excellent communication and presentation skills, and the ability to manage multiple client engagements concurrently are essential qualifications. Preferred attributes include experience working with global clients, a self-motivated approach to learning emerging technologies, strong organizational skills, and familiarity with AI tools and cloud platforms. If you have a passion for innovation and possess the required technical expertise and business acumen, this role offers an exciting opportunity to drive strategic business enablement through AI solutions.,

You will be a key member of the Merchant Product Org at Uber Eats, contributing to the vision of creating the most preferred online delivery platform for merchants worldwide. Your primary focus will be on developing a robust product strategy to drive growth for merchants on Uber Eats by providing them with cutting-edge technology tools and intelligence. This will involve catering to a diverse range of merchants, from established food chains to small independent restaurants on a global scale. As a seasoned Product Manager, you will play a pivotal role in defining the overall product strategy, goals, and roadmap aimed at fostering merchant growth. Collaboration will be a key aspect of your role, as you work closely with cross-functional teams including engineering, data science, design, user research, and product operations to deliver user-centric products of the highest quality standards. Additionally, you will liaise with operations, product marketing, and global account management teams to shape the Go-To-Market (GTM) strategy and ensure successful execution, all while monitoring product performance, gathering insights, and iterating on product enhancements. Your ability to communicate product plans, impact assessments, and trade-offs effectively to a diverse audience, including partner teams and senior leadership, will be crucial in driving alignment and achieving organizational goals. Your academic background ideally includes a Bachelor's degree in engineering, business management, or a related field, complemented by at least 8 years of overall experience with a minimum of 6 years in product management roles within product-driven companies. You should have a proven track record of delivering impactful solutions at scale and collaborating seamlessly with multidisciplinary teams to address complex user-facing challenges. Preferred qualifications for this role include prior experience in building products for online marketplace businesses, familiarity with fast-paced global product environments, and a track record of working on products at a large scale. Your ability to independently set and achieve high-visibility objectives, craft comprehensive product roadmaps, and navigate through ambiguity will be instrumental in your success in this role.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

You will be joining DBS Group Audit as a Business Analyst, playing a crucial role in delivering digital and data initiatives to support the implementation of Group Audit Data Driven Operating Model (DDOM). Your responsibilities will encompass business analysis, stakeholder management, and the implementation of key digital and data projects within the Group Audit framework. Your primary tasks will include defining scope, objectives, and measures of success in collaboration with stakeholders, including Business Users and Product Owners. It will be essential for you to maintain effective communication channels with these parties, providing regular progress updates and escalating issues to management when necessary. Additionally, you will be tasked with creating and adhering to a detailed work plan for project activities, ensuring alignment with the technology team's scope of work and delivery plan. To excel in this role, you should possess a degree in any discipline along with a minimum of 5 years of experience in managing and delivering digital and data projects. Proficiency in Agile project management is a prerequisite, as well as strong communication and stakeholder management skills. Knowledge of the banking industry, particularly institutional banking, is preferred. Additionally, you should be proficient in SQL, with experience in data science considered a bonus. The ideal candidate will be independent, self-motivated, a team player, and capable of performing effectively under pressure.,

As a professional services firm affiliated with KPMG International Limited, KPMG entities in India have been a part of the industry since August 1993. Our dedicated professionals tap into the extensive global network of firms while maintaining a deep understanding of local laws, regulations, markets, and competition. With offices spanning across major cities in India including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we are committed to serving both national and international clients across various sectors. At KPMG entities in India, our services are designed to deliver rapid, performance-based, industry-focused, and technology-enabled solutions. These services are a reflection of our collective knowledge of global and local industries, as well as our in-depth experience within the Indian business environment. We are currently looking for professionals in the field of Data Science to join our dynamic team and contribute to our continued success. KPMG entities in India are proud to uphold the values of equal employment opportunity, fostering an inclusive and diverse workplace where all individuals are given the opportunity to thrive and excel.,

As a Managing Consultant in Business Experimentation at Mastercard, you will be a part of the Advisors & Consulting Services group, specializing in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve advising executives on business decisions using Mastercard's predictive analytics SaaS platform, Test & Learn. By working closely with customers, you will help identify key priorities, design and execute business experiments, and determine the effectiveness of different ideas to guide deployment strategies. Your responsibilities will include leading client engagements across various industries and problem statements, developing strategies and programs for regional and global clients, and fostering key relationships with mid-level to senior client stakeholders. You will leverage data science tools such as Test & Learn to provide analytical and technical expertise, driving client success through the adoption and mastery of the platform. In addition to client impact, you will play a crucial role in team collaboration and culture. Leading your team to deliver insightful business recommendations, conducting day-to-day project delivery, and fostering a collaborative environment at all levels will be key aspects of your role. Collaboration with internal stakeholders at Mastercard, including Product and Business Development teams, to scope projects, create client solutions, and contribute to the firm's intellectual capital will also be a part of your responsibilities. To excel in this role, you should possess an undergraduate degree with analytical experience in consulting, analytics, or data science. Experience in coaching and managing teams, as well as managing key client relationships, is essential. Proficiency in business KPIs, financials, and organizational leadership, along with the ability to identify new business opportunities, draft proposals, and analyze large datasets to provide key recommendations, are important qualifications. Strong communication skills in English and the ability to work in a fast-paced, deadline-driven environment are also required. Preferred qualifications for this role include additional experience in data modeling, database management, data visualization tools, or time series analysis. Industry expertise and an MBA or masters degree with relevant specialization are desirable but not mandatory. At Mastercard, information security is of utmost importance. As a part of the organization, you are expected to adhere to security policies, maintain confidentiality and integrity of accessed information, report any security violations, and undergo periodic security training as per Mastercard guidelines.,

Embark on a transformative journey as the Chief Control Office- Control Business Partner at Barclays. We are committed to pushing boundaries, and you will play a crucial role in driving high-quality risk management in alignment with our strategy, regulations, group frameworks, policies, and standards. Your responsibilities will include sustaining and continuously strengthening the control environment and culture by providing input, challenge, and risk management expertise across Product, Process, Service, and Control landscape. You will ensure effective implementation and management of Enterprise Risk management frameworks. Key skills required for this role: - Chartered Accountant/ Certified Internal Auditor/ CPA or equivalent qualification in Auditing or Risk Management with relevant experience. - Graduate / Postgraduate with a minimum of total years of experience. - Good understanding of front to back processes across diverse Banking businesses. - Experience in Control Business Partnering, Controls Assurance, and Risk Management, covering governance, control frameworks, processes, and operational risk management. - Extensive experience in senior stakeholder management, clear communication of internal control concepts in a business context, and managing relationships across multiple disciplines. - Understanding and application of Data science and analytics. Additional valued skills may include: - Sound commercial judgment and comprehensive understanding of the Financial Services Industry. - Strong working knowledge of reconciliation, Tax operations, or operations area. - Experience in designing, communicating & implementing internal control policies. - Proficiency in MS Office applications (Outlook, Word, Excel, PowerPoint). - Hands-on experience in designing and delivering Data analytics. You may be assessed on critical skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital technology, and job-specific technical skills. This role is based in our Pune office. Purpose of the role: The purpose of this role is to assess the integrity and effectiveness of the bank's internal control framework to support risk mitigation and protection of operational, financial, and reputational risks. Accountabilities: - Collaborate with stakeholders to enhance control effectiveness through detailed documentation of control assessments, procedures, and findings. - Identify and investigate potential weaknesses within internal controls to promote continuous improvement and risk mitigation. - Develop reports to communicate key findings from risk assessments and execute reviews to determine the effectiveness of the bank's internal controls framework. - Implement adherence to the Barclays Controls Framework and assess controls against the established framework. Vice President Expectations: - Contribute to strategy, drive change, plan resources, manage policies, and deliver continuous improvements. - Demonstrate leadership behaviours for creating an environment for colleagues to thrive. - Advise key stakeholders, manage risks, and demonstrate accountability for strengthening controls. - Collaborate with other areas to support business strategies and achieve key objectives. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automated data and technology solutions in line with data42 strategy. - Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, or SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

We are looking for a Manager Data Intelligence, who will work to deliver Data Driven Solutions by working with multi-functional domain experts to deeply understand business context and key business opportunities, as well as collaborate with other teams to aid the analytics process of evaluating data and discovering insights with the purpose of making decisions that improve business outcomes. You will be responsible for managing a team of dedicated business analysts, ensuring high-quality standards, and aligning with the business objectives and vision. You should possess a solid foundation in data science/analytics, program management, and leadership skills. Lead and mentor a team to ensure customer success through quality in Development, Project Management, and Solution Delivery. Collaborate with stakeholders to understand business needs and formulate data-driven strategies. Translate business challenges into actionable data initiatives aligned with the company strategy. Effectively convey complex data science/analytic concepts to non-technical stakeholders. Analyze large datasets, extract relevant information, and identify patterns and trends to support the decision-making process. Collaborate with other teams to gather and preprocess data from various sources, ensuring data accuracy and integrity. Generate actionable insights and recommendations based on data analysis to optimize processes, reduce costs, and improve user experience. Present reports, findings, and recommendations to executive leadership. Drive data quality, governance, and compliance with organization security standards. Build multi-functional relationships with CAO/Controllership and IT organization. Stay updated with the latest developments in data science and machine learning techniques. To succeed in this role, you need to have 10+ years of industry work experience including 8+ years of experience in technical roles involving Data Science/Analytics, Machine Learning, or Statistics. Hands-on experience with large-scale data, developing innovative data solutions. Lead and inspire a team with positivity and optimism, creating a culture of high expectations and achievement. Ability to align efforts of disparate groups to achieve a common goal. Confident ability to lead, collaborate, triage, and make decisions in a fast-paced, changing environment. Passion for problem-solving and ability to think through problems creatively and systematically, to prioritize them, and to identify and evaluate alternative solutions. Outstanding interpersonal, verbal, and written communication and presentation skills. Proficiency in Python and Python-based ML and Data Science frameworks. Extensive experience with BI Platforms (i.e., Power BI). Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Put your best foot forward by updating your Resume/CV and Workday profile, including your uniquely Adobe experiences and volunteer work. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in. Adobe provides an exceptional work environment that is recognized worldwide, surrounded by colleagues committed to helping each other grow through ongoing feedback. If you're looking to make an impact, Adobe is the place for you.,

As a Salesforce Developer at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your primary focus will be on customizing and enhancing Salesforce to align with the specific business requirements. You will collaborate with cross-functional teams to design and implement new features to drive business growth. Your key responsibilities will include working on Salesforce projects to earn points on Trailhead, participating in code reviews to ensure high-quality standards, and troubleshooting and debugging issues in existing applications. It is essential to stay updated with the latest developments in Salesforce and related technologies to leverage innovative solutions effectively. Softsensor.ai is a USA and India-based corporation specializing in data-driven outcomes for clients. Our team comprises seasoned professionals with a wealth of experience in leading global consulting firms and corporations. We are dedicated to utilizing data science and analytics to enhance organizational performance. We are at the forefront of cutting-edge technologies such as NLP, CNN, and RNN, applying them in a business context to drive innovation and efficiency.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team and provide a comprehensive view. As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a senior role in our journey of innovation. Your primary focus will be on introducing and scaling up data-driven risk analytics solutions through the application of data science and machine learning techniques. Your contributions will transform our operations and business processes, enhancing the core value proposition of our system and expanding flexible analytical capabilities for the growth of Newton's platform. JPMorgan Asset & Wealth Management Risk (AWM) is actively seeking a dynamic Risk professional with strong quantitative analysis skills to join our AWM Risk Analytics team. This team, a pivotal part of AWM Risk Management, comprises a diverse group of innovative quantitative and market risk-oriented professionals. Our key responsibilities include developing and maintaining risk measurement methodologies, conducting analytics calculations, and overseeing the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders. Your responsibilities in this role will include: - Collaborating with peers and stakeholders to identify use cases for Data Science that create value, utilizing your expertise in Computer Science, Statistics, Mathematics, and Data Science techniques for security and portfolio risk analytics. - Leading continuous improvements in AI/ML and statistical techniques used in data and analytics validation processes. - Designing and delivering scalable solutions using approved new technologies and tools, such as AI and LLMs, leveraging the citizen developer journey platform to enhance process efficiencies. - Contributing to the analysis of new and large data sets, adhering to best practice data modeling and architecture using big data platforms. - Contributing to the research and enhancement of the risk methodology for AWM Risk Analytics, covering sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment, counterparty, and liquidity risk. Required qualifications, capabilities, and skills: - Minimum 6 months of experience as a Data Scientist or in a related quantitative role. - Detail-oriented, technically proficient individual with the ability to multitask and work independently. - Excellent communication skills. - Strong understanding of statistics, applied AI/ML techniques, and a practical problem-solving mindset. - Knowledge in modular programming in SQL, Python, ML, AWS Sagemaker, TensorFlow, or similar tools. Preferred qualifications, capabilities, and skills include: - Practical experience in financial markets within Risk Management or a Front Office role. - Knowledge of asset pricing, VaR backtesting techniques, and model performance testing. Join us in this exciting opportunity to contribute to cutting-edge data-driven risk analytics solutions within the Asset and Wealth Management Risk sector.,

You are seeking a motivated and highly skilled Data Scientist to join the Flight Safety team in Gurgaon. Your role will involve leveraging advanced analytics and machine learning to drive safety-related decisions and enhance operational processes. As a critical member of the team, you will work with time-series and multivariate data to detect anomalies, identify patterns, and develop predictive models that enhance flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques on time-series and multivariate data, and developing machine learning and deep learning models for predictive safety analytics. You will also be utilizing big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety, designing custom algorithms for domain-specific requirements, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with a certification in Data Science. Additionally, you should have a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills required for this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning, deep learning, big data analytics, AI-driven risk forecasting, programming skills in Python and MATLAB, custom algorithm design, data collection, preprocessing, and integration. By joining this team, you will have the opportunity to contribute to cutting-edge data science initiatives in aviation safety, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,